Files for "Deep Learning for Computer Vision with MATLAB"
Versione 1.2 (11,6 KB) da
Lucas García
Example files for "Deep Learning for Computer Vision with MATLAB" Webinar - July 5, 2016 (Spanish)
These are the example files used in the webinar "Aprendizaje Profundo para Visión Artificial con MATLAB" - Spanish ("Deep Learning for Computer Vision with MATLAB").
Deep Learning is an area of Machine Learning that uses multiple nonlinear processing layers to learn useful representations of features directly from data. This webinar shows the fundamentals of Deep Learning for Computer Vision and how to use Convolutional Neural Networks (popularly known as CNNs or ConvNets) to solve object classification/recognition problems.
The source code consists of 3 different examples:
1) Running a trained CNN (/WebcamClassification)
2) Training a CNN from scratch (/CIFARTraining)
3) Fine-tuning a pre-trained CNN. Transfer learning (/TransferLearning)
Examples 1) and 3) make use AlexNet [1]. In order to download the trained CNN [2], run the file downloadAndPrepareCNN.m (if using R2016a) or download AlexNet Network support package (if using R2016b or later).
References:
[1] Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems (pp. 1097-1105).
[2] Vedaldi, A., & Lenc, K. (2015, October). MatConvNet: Convolutional Neural Networks for MATLAB. Proceedings of the 23rd ACM International Conference on Multimedia (pp. 689-692). ACM.
Cita come
Lucas García (2024). Files for "Deep Learning for Computer Vision with MATLAB" (https://github.com/mathinking/DeepLearning-for-ComputerVision-with-MATLAB/releases/tag/v1.2), GitHub. Recuperato .
Compatibilità della release di MATLAB
Creato con
R2016a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS LinuxCategorie
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
- AI, Data Science, and Statistics > Deep Learning Toolbox > Get Started with Deep Learning Toolbox >
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CIFARTraining
TransferLearning
WebcamClassification
Versione | Pubblicato | Note della release | |
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1.2 | See release notes for this release on GitHub: https://github.com/mathinking/DeepLearning-for-ComputerVision-with-MATLAB/releases/tag/v1.2 |
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1.1.0.0 | Updated to work on R2016b and later using AlexNet Network support package |
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1.0.0.1 | Updated license |
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1.0.0.0 | Adding link to the recorded webinar. |
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Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.